La transition épithélio-mésenchymateuse (TEM) est un processus physiologique décrit dans le développement embryonnaire et chez l'adulte au cours de la cicatrisation. La TEM est également détournée dans le contexte pathologique au cours de l'invasion tumorale et les mécanismes moléculaires qui la contrôlent font à ce jour l'objet d'intenses investigations. Cette étude décrit le rôle du gène de la lignée germinale NANOS-3 dans la régulation de l'invasion tumorale broncho-pulmonaire associée à la TEM. Nous démontrons que l'expression de Nanos-3 est corrélée à l'agressivité des cancers bronchiques non à petites cellules (CBNPC) humains in vivo et qu'il est surexprimé pendant la TEM induite in vitro. De plus, la surexpression de Nanos-3 dans les lignées tumorales bronchiques augmente leurs capacités invasives in vitro en induisant la TEM alors que son inhibition induit l'effet opposé et promeut la transition mésenchymo-épithéliale (TME). Au cours de cette étude, nous rapportons également des mécanismes à la fois transcriptionnels et post-transcriptionnels de régulation des cibles de Nanos-3. Ainsi, nous montrons que Nanos-3 réprime la transcription du gène CADHERINE-E indépendamment des facteurs de transcription des familles Snail et ZEB. Nous décrivons également que la protéine Nanos-3 co-immunoprécipite avec certains ARNm de ses cibles et, plus particulièrement, qu'elle est capable de réguler la longueur de la queue poly-(A) du transcrit codant pour une de ses cibles majeures : la Vimentine. En parallèle, par des méthodes d'études in silico et in vitro, nous démontrons une localisation à la fois cytoplasmique et nucléaire de Nanos-3 ainsi que son accumulation nucléolaire. Enfin, nous mettons en évidence que la réexpression ectopique de Nanos-3 dans le contexte tumoral pourrait être attribuée à une dérégulation des mécanismes épigénétiques physiologiquement mis en place dans les cellules somatiques adultes. Ainsi, cette étude démontre le rôle de Nanos-3 dans l'acquisition d'un phénotype invasif par les cellules tumorales bronchiques et décrit un nouveau mécanisme de régulation de la TEM dépendant de la longueur de la queue poly-(A) de certains ARNm. / The Epithelial-Mesenchymal Transition (EMT) is a basic cellular process used by embryo to generate different tissues or in adult during wound healing. EMT is also misappropriated by cancer cells during the first step towards metastasis. Molecular mechanisms driving EMT during tumor progression are extensively studied and post-transcriptional regulations of EMT-associated genes emerge as major and promising field in oncology. Here we report a dual post-transcriptional and transcriptional regulation of EMT-associated genes by the NANOS-3 germline gene during lung tumor invasion. We show that the Nanos-3 expression in vivo correlates with aggressiveness of human non-small cell lung carcinomas (NSCLC) and that Nanos-3 is upregulated in cells which undergo an EMT in our in vitro EMT-inducible models. Moreover, Nanos-3 overexpression in human NSCLC cell lines enhances their invasive abilities by EMT regulation while its silencing induces the opposite effect leading to a Mesenchymal-Epithelial Transition (MET). Molecular investigations indicate that Nanos-3 controls its targets by either transcriptional or post-transcriptional mechanisms. We show that Nanos-3 represses E-CADHERIN transcription independently of Snail and ZEB transcription factor families. Moreover, we also find that mRNAs of post-transcriptionally regulated targets are co-immunoprecipitated with the Nanos-3 protein and that Nanos-3 regulates the length of the 3' poly-A tail of VIMENTIN mRNA. This dual mechanism of EMT regulation by Nanos-3 is to be related to the specific subcellular localization of Nanos-3 in both cytoplasm and nucleus associated with a nucleolus accumulation as shown by in vitro and in silico experiments. Finally, we demonstrate an epigenetic regulation of NANOS-3 gene expression in lung cell lines, thus supporting that its ectopic expression could be attributed to an epigenetic machinery deregulation in cancer cells.Thus, here we demonstrate a new innovative role for Nanos-3 in the acquisition of an invasive phenotype by lung tumor cells and we describe a novel mechanism of post-transcriptional regulation of EMT via the control of the mRNA poly-A tail length.

Les propriétés invasives des cellules cancéreuses sont liées à des modulations importantes de l’expression de gènes. Des protéases doivent être exprimées afin de permettre la dégradation de la matrice extracellulaire (MEC), l’activation protéolytique de protéines matricielles et la libération de facteurs de croissance, de cytokines, de récepteurs et de molécules d’adhérence. Parmi ces protéases, les métalloprotéinases matricielles (MMPs) jouent un rôle crucial dans la dégradation de la MEC et dans le remodelage tissulaire observéau cours de l’invasion tumorale. L’émergence de thérapeutiques anticancéreuses basées sur des stratégies épigénétiques nécessitent d’évaluer leurs effets sur les propriétés des cellules tumorales. Ce travail a pour objectif d’analyser les effets de modulateurs épigénétiques (un agent hypométhylant de l’ADN et des inhibiteurs d’histone désacétylases (inhibiteursd’HDACs ou HDIs)) sur l’expression des MMP-1, -2 et -9 dans la lignée cellulaire de fibrosarcome humain HT1080. Dans un premier temps, il apparaît que l’agenthypométhylant de l’ADN, la 5-aza-2’désoxycytidine (5-azadC), augmente l’expressiongénique et protéique des MMP-1, -2 et -9. Ces modifications de l’expression sont associées à (i) une déméthylation globale de l’ADN et (ii) des modifications de la supra-organisation chromatinienne correspondant globalement à une chromatine moins condensée. De plus, la5-azadC est capable d’accroître les propriétés invasives des cellules par l’intermédiaire,notamment, d’une augmentation de l’expression de la MMP-1 par un mécanisme transcriptionnel. Cette augmentation de la transcription implique le recrutement du facteurSp1 et un remodelage chromatinien au niveau du promoteur du gène de la MMP-1.Néanmoins, une déméthylation totale de ce promoteur n’est pas nécessaire à cette induction. De manière complémentaire, le traitement des cellules HT1080 par différents HDIs révèle le rôle potentiel d’HDACs dans la régulation de l’expression de la MMP-1. Un HDIà large spectre, la trichostatine A (TSA), est capable de moduler l’expression de la MMP-1 et la texture nucléaire, mais uniquement après déméthylation préalable de l’ADN par la 5-azadC. Par contre, l’HDI spécifique des HDACs de classe I, le MS-275, est capable d’induire, à lui seul, l’expression génique et protéique de la MMP-1. Cette expression génique requiert un remodelage de la chromatine et le recrutement de l’histone acétyltransférase p300 au niveau du promoteur du gène de la MMP-1. L’ensemble de ces résultats suggèrent que des mécanismes épigénétiques jouent un rôle crucial dans le contrôle de l’expression de laMMP-1 dans les cellules HT1080, influençant ainsi les propriétés invasives de ces cellules. / Invasive properties of cancer cells require critical changes in gene expression. Proteasesmust be expressed for the degradation of the extracellular matrix (ECM), the proteolyticactivation of matrix proteins and the release of bioactive molecules such as growth factors,cytokines, receptors and adhesion molecules. Among these proteases, the matrixmetalloproteinase (MMP) family members play a crucial role in the ECM breakdown andremodeling of tissues during tumor invasion. The introduction of epigenetic strategies in thetherapeutic arsenal against cancer led to the need to evaluate the effects of suchtherapeutic approaches on cell behavior. Here we focused our attention on the effects ofepigenetic modulators, a DNA hypomethylating agent and histone deacetylase inhibitors(HDAC inhibitors or HDI), on the expressions of MMP-1,-2, and -9 in the human HT1080fibrosarcoma cell line. First, we showed that the DNA hypomethylating drug 5-aza-2’deoxycytidine (5-azadC) increases MMP-1, -2, -9 expressions both at the mRNA andprotein levels. These changes in gene expression are associated with (i) a global DNAdemethylation and with (ii) modifications in chromatin supra-organization which globally correspond to a more decondensed chromatin. Moreover, 5-azadC is able to increase theinvasive properties capability of the HT1080 cells mainly via MMP-1 transcription-dependent expression. This enhancement of transcription occurs through (i) Sp1 recruitment, (ii)chromatin remodeling and (iii) in absence of full demethylation on the MMP-1 genepromoter. Using different HDIs reveals that HDACs could potentially play a role in MMP-1expression. The pan-HDI trichostatin A (TSA) act in synergy with 5-azadC and is able tomodulate MMP-1 expression and nuclear texture, but only after DNA demethylation. Incontrast, the HDAC class I inhibitor, MS-275, which display additive effect with 5-azadC, isable to induce, alone, MMP-1 gene expression through chromatin remodeling and p300recruitment to its promoter. These data suggest that epigenetic mechanisms play a crucialrole in MMP-1 expression control in HT1080 cells thus influencing the invasive potential ofthese cells.

Cancer cells display characteristic traits acquired in a step-wise manner during carcinogenesis. Some of these traits are autonomous growth, induction of angiogenesis, invasion and metastasis. In this thesis, the focus is on one of the latest stages of tumor progression, tumor invasion. Tumor invasion emerges from the combined effect of tumor cell-cell and cell-microenvironment interactions, which can be studied with the help of mathematical analysis. Cellular automata (CA) can be viewed as simple models of self-organizing complex systems in which collective behavior can emerge out of an ensemble of many interacting "simple" components. In particular, we focus on an important class of CA, the so-called lattice-gas cellular automata (LGCA). In contrast to traditional CA, LGCA provide a straightforward and intuitive implementation of particle transport and interactions. Additionally, the structure of LGCA facilitates the mathematical analysis of their behavior. Here, the principal tools of mathematical analysis of LGCA are the mean-field approximation and the corresponding Lattice Boltzmann equation. The main objective of this thesis is to investigate important aspects of tumor invasion, under the microscope of mathematical modeling and analysis: Impact of the tumor environment: We introduce a LGCA as a microscopic model of tumor cell migration together with a mathematical description of different tumor environments. We study the impact of the various tumor environments (such as extracellular matrix) on tumor cell migration by estimating the tumor cell dispersion speed for a given environment. Effect of tumor cell proliferation and migration: We study the effect of tumor cell proliferation and migration on the tumor’s invasive behavior by developing a simplified LGCA model of tumor growth. In particular, we derive the corresponding macroscopic dynamics and we calculate the tumor’s invasion speed in terms of tumor cell proliferation and migration rates. Moreover, we calculate the width of the invasive zone, where the majority of mitotic activity is concentrated, and it is found to be proportional to the invasion speed. Mechanisms of tumor invasion emergence: We investigate the mechanisms for the emergence of tumor invasion in the course of cancer progression. We conclude that the response of a microscopic intracellular mechanism (migration/proliferation dichotomy) to oxygen shortage, i.e. hypoxia, maybe responsible for the transition from a benign (proliferative) to a malignant (invasive) tumor. Computing in vivo tumor invasion: Finally, we propose an evolutionary algorithm that estimates the parameters of a tumor growth LGCA model based on time-series of patient medical data (in particular Magnetic Resonance and Diffusion Tensor Imaging data). These parameters may allow to reproduce clinically relevant tumor growth scenarios for a specific patient, providing a prediction of the tumor growth at a later time stage. / Krebszellen zeigen charakteristische Merkmale, die sie in einem schrittweisen Vorgang während der Karzinogenese erworben haben. Einige dieser Merkmale sind autonomes Wachstum, die Induktion von Angiogenese, Invasion und Metastasis. Der Schwerpunkt dieser Arbeit liegt auf der Tumorinvasion, einer der letzten Phasen der Tumorprogression. Die Tumorinvasion ensteht aus der kombinierten Wirkung von den Wechselwirkungen Tumorzelle-Zelle und Zelle-Mikroumgebung, die mit die Hilfe von mathematischer Analyse untersucht werden können. Zelluläre Automaten (CA) können als einfache Modelle von selbst-organisierenden komplexen Systemen betrachtet werden, in denen kollektives Verhalten aus einer Kombination von vielen interagierenden "einfachen" Komponenten entstehen kann. Insbesondere konzentrieren wir uns auf eine wichtige CA-Klasse, die sogenannten Zelluläre Gitter-Gas Automaten (LGCA). Im Gegensatz zu traditionellen CA bieten LGCA eine einfache und intuitive Umsetzung der Teilchen und Wechselwirkungen. Zusätzlich erleichtert die Struktur der LGCA die mathematische Analyse ihres Verhaltens. Die wichtigsten Werkzeuge der mathematischen Analyse der LGCA sind hier die Mean-field Approximation und die entsprechende Lattice - Boltzmann - Gleichung. Das wichtigste Ziel dieser Arbeit ist es, wichtige Aspekte der Tumorinvasion unter dem Mikroskop der mathematischen Modellierung und Analyse zu erforschen: Auswirkungen der Tumorumgebung: Wir stellen einen LGCA als mikroskopisches Modell der Tumorzellen-Migration in Verbindung mit einer mathematischen Beschreibung der verschiedenen Tumorumgebungen vor. Wir untersuchen die Auswirkungen der verschiedenen Tumorumgebungen (z. B. extrazellulären Matrix) auf die Migration von Tumorzellen dürch Schätzung der Tumorzellen-Dispersionsgeschwindigkeit in einem gegebenen Umfeld. Wirkung von Tumor-Zellenproliferation und Migration: Wir untersuchen die Wirkung von Tumorzellenproliferation und Migration auf das invasive Verhalten der Tumorzellen durch die Entwicklung eines vereinfachten LGCA Tumorwachstumsmodells. Wir leiten die entsprechende makroskopische Dynamik und berechnen die Tumorinvasionsgeschwindigkeit im Hinblick auf die Tumorzellenproliferation- und Migrationswerte. Darüber hinaus berechnen wir die Breite der invasiven Zone, wo die Mehrheit der mitotischer Aktivität konzentriert ist, und es wird festgestellt, dass diese proportional zu den Invasionsgeschwindigkeit ist. Mechanismen der Tumorinvasion Entstehung: Wir untersuchen Mechanismen, die für die Entstehung von Tumorinvasion im Verlauf des Krebs zuständig sind. Wir kommen zu dem Schluss, dass die Reaktion eines mikroskopischen intrazellulären Mechanismus (Migration/Proliferation Dichotomie) zu Sauerstoffmangel, d.h. Hypoxie, möglicheweise für den Übergang von einem gutartigen (proliferative) zu einer bösartigen (invasive) Tumor verantwortlich ist. Berechnung der in-vivo Tumorinvasion: Schließlich schlagen wir einen evolutionären Algorithmus vor, der die Parameter eines LGCA Modells von Tumorwachstum auf der Grundlage von medizinischen Daten des Patienten für mehrere Zeitpunkte (insbesondere die Magnet-Resonanz-und Diffusion Tensor Imaging Daten) ermöglicht. Diese Parameter erlauben Szenarien für einen klinisch relevanten Tumorwachstum für einen bestimmten Patienten zu reproduzieren, die eine Vorhersage des Tumorwachstums zu einem späteren Zeitpunkt möglich machen.

Le stroma inflammatoire joue un rôle primordial lors de la carcinogénèse. Dans ce contexte, nous montrons que la cytokine LIF est à l'origine d'une population de fibroblastes capable de remodeler la matrice extracellulaire de manière à la rendre permissive à l'invasion collective des cellules tumorales. En effet, nous montrons que la production de LIF par les cellules tumorales et fibroblastiques, après une stimulation au TGFβ, va réguler les capacités contractiles et pro-invasives de ces dernières via la régulation du cytosquelette d'acto-myosine et de manière indépendante de l'expression de α-SMA. En effet, l'inhibition pharmacologique des kinases JAKs permet de bloquer l'environnement fibrotique des tumeurs et d'ainsi bloquer l'invasion des cellules tumorales in vitro et in vivo. Nous montrons ensuite que LIF est à l'origine d'un switch épigénétique responsable de l'activation constitutive de la voie de signalisation JAK1/STAT3. Ce processus, régulé par la forme acétylée de STAT3, et son interaction avec l'ADN methyltransférase DNMT3b permet l'hypermethylation du promoter de la phosphatase SHP1 et donc la phosphorylation constitutive de JAK1. Une fois mis en place, ce nouveau profil de méthylation est maintenu par DNMT1. La surexpression de LIF dans les carcinomes humains corréle avec un environnement fibrotique, la présence de nodules invasifs et un mauvais pronostic clinique. De même, il existe une forte corrélation négative entre l'acétylation de STAT3 et l'expression de SHP1 dans le stroma tumoral. Nos résultats montrent qu'inhiber l'activité des DNMT et des kinases JAK permet de reprogrammer les capacités pro-invasive des fibroblastes associés aux carcinomes. / Signaling crosstalk between tumor cells and fibroblasts confers proinvasive properties to the tumor microenvironment. We identify LIF as a tumor promoter that mediates proinvasive activation of stromal fibroblasts independent of alpha-smooth muscle actin expression. We demonstrate that a pulse of transforming growth factor β (TGF-β) establishes stable proinvasive fibroblast activation by inducing LIF production in both fibroblasts and tumor cells. In fibroblasts, LIF mediates TGF-β-dependent actomyosin contractility and extracellular matrix remodeling, which results in collective carcinoma cell invasion. Indeed, pharmacological inhibition of JAK activity by counteracts fibroblast-dependent carcinoma cell invasion in vitro and in vivo. We next unveil that LIF initiates an epigenetic switch leading to the constitutive activation of JAK1/STAT3 signaling, which results in sustained pro-invasive activity of fibroblasts. The process is mediated by p300-histone acetyltransferase acetylation of STAT3, and DNA methyltransferase DNMT3b, which induce the hypermethylation of SHP1 phosphatase promoter and results in constitutive phosphorylation of JAK1. Sustained JAK1/STAT3 signaling is maintained by DNMT1. Accordingly, carcinomas display strong LIF upregulation, which correlates with dense collagen fiber organization, cancer cell collective invasion, and poor clinical outcome. Moreover, we show that STAT3 acetylation and phosphorylation are inversely correlated with SHP1 expression in tumors stroma. Combined inhibition of DNMT activities and JAK signaling results in long-term reversion of CAF-associated pro-invasive activity and restoration of the wild-type fibroblast phenotype.

Cancer cells display characteristic traits acquired in a step-wise manner during carcinogenesis. Some of these traits are autonomous growth, induction of angiogenesis, invasion and metastasis. In this thesis, the focus is on one of the latest stages of tumor progression, tumor invasion. Tumor invasion emerges from the combined effect of tumor cell-cell and cell-microenvironment interactions, which can be studied with the help of mathematical analysis. Cellular automata (CA) can be viewed as simple models of self-organizing complex systems in which collective behavior can emerge out of an ensemble of many interacting "simple" components. In particular, we focus on an important class of CA, the so-called lattice-gas cellular automata (LGCA). In contrast to traditional CA, LGCA provide a straightforward and intuitive implementation of particle transport and interactions. Additionally, the structure of LGCA facilitates the mathematical analysis of their behavior. Here, the principal tools of mathematical analysis of LGCA are the mean-field approximation and the corresponding Lattice Boltzmann equation. The main objective of this thesis is to investigate important aspects of tumor invasion, under the microscope of mathematical modeling and analysis: Impact of the tumor environment: We introduce a LGCA as a microscopic model of tumor cell migration together with a mathematical description of different tumor environments. We study the impact of the various tumor environments (such as extracellular matrix) on tumor cell migration by estimating the tumor cell dispersion speed for a given environment. Effect of tumor cell proliferation and migration: We study the effect of tumor cell proliferation and migration on the tumor’s invasive behavior by developing a simplified LGCA model of tumor growth. In particular, we derive the corresponding macroscopic dynamics and we calculate the tumor’s invasion speed in terms of tumor cell proliferation and migration rates. Moreover, we calculate the width of the invasive zone, where the majority of mitotic activity is concentrated, and it is found to be proportional to the invasion speed. Mechanisms of tumor invasion emergence: We investigate the mechanisms for the emergence of tumor invasion in the course of cancer progression. We conclude that the response of a microscopic intracellular mechanism (migration/proliferation dichotomy) to oxygen shortage, i.e. hypoxia, maybe responsible for the transition from a benign (proliferative) to a malignant (invasive) tumor. Computing in vivo tumor invasion: Finally, we propose an evolutionary algorithm that estimates the parameters of a tumor growth LGCA model based on time-series of patient medical data (in particular Magnetic Resonance and Diffusion Tensor Imaging data). These parameters may allow to reproduce clinically relevant tumor growth scenarios for a specific patient, providing a prediction of the tumor growth at a later time stage. / Krebszellen zeigen charakteristische Merkmale, die sie in einem schrittweisen Vorgang während der Karzinogenese erworben haben. Einige dieser Merkmale sind autonomes Wachstum, die Induktion von Angiogenese, Invasion und Metastasis. Der Schwerpunkt dieser Arbeit liegt auf der Tumorinvasion, einer der letzten Phasen der Tumorprogression. Die Tumorinvasion ensteht aus der kombinierten Wirkung von den Wechselwirkungen Tumorzelle-Zelle und Zelle-Mikroumgebung, die mit die Hilfe von mathematischer Analyse untersucht werden können. Zelluläre Automaten (CA) können als einfache Modelle von selbst-organisierenden komplexen Systemen betrachtet werden, in denen kollektives Verhalten aus einer Kombination von vielen interagierenden "einfachen" Komponenten entstehen kann. Insbesondere konzentrieren wir uns auf eine wichtige CA-Klasse, die sogenannten Zelluläre Gitter-Gas Automaten (LGCA). Im Gegensatz zu traditionellen CA bieten LGCA eine einfache und intuitive Umsetzung der Teilchen und Wechselwirkungen. Zusätzlich erleichtert die Struktur der LGCA die mathematische Analyse ihres Verhaltens. Die wichtigsten Werkzeuge der mathematischen Analyse der LGCA sind hier die Mean-field Approximation und die entsprechende Lattice - Boltzmann - Gleichung. Das wichtigste Ziel dieser Arbeit ist es, wichtige Aspekte der Tumorinvasion unter dem Mikroskop der mathematischen Modellierung und Analyse zu erforschen: Auswirkungen der Tumorumgebung: Wir stellen einen LGCA als mikroskopisches Modell der Tumorzellen-Migration in Verbindung mit einer mathematischen Beschreibung der verschiedenen Tumorumgebungen vor. Wir untersuchen die Auswirkungen der verschiedenen Tumorumgebungen (z. B. extrazellulären Matrix) auf die Migration von Tumorzellen dürch Schätzung der Tumorzellen-Dispersionsgeschwindigkeit in einem gegebenen Umfeld. Wirkung von Tumor-Zellenproliferation und Migration: Wir untersuchen die Wirkung von Tumorzellenproliferation und Migration auf das invasive Verhalten der Tumorzellen durch die Entwicklung eines vereinfachten LGCA Tumorwachstumsmodells. Wir leiten die entsprechende makroskopische Dynamik und berechnen die Tumorinvasionsgeschwindigkeit im Hinblick auf die Tumorzellenproliferation- und Migrationswerte. Darüber hinaus berechnen wir die Breite der invasiven Zone, wo die Mehrheit der mitotischer Aktivität konzentriert ist, und es wird festgestellt, dass diese proportional zu den Invasionsgeschwindigkeit ist. Mechanismen der Tumorinvasion Entstehung: Wir untersuchen Mechanismen, die für die Entstehung von Tumorinvasion im Verlauf des Krebs zuständig sind. Wir kommen zu dem Schluss, dass die Reaktion eines mikroskopischen intrazellulären Mechanismus (Migration/Proliferation Dichotomie) zu Sauerstoffmangel, d.h. Hypoxie, möglicheweise für den Übergang von einem gutartigen (proliferative) zu einer bösartigen (invasive) Tumor verantwortlich ist. Berechnung der in-vivo Tumorinvasion: Schließlich schlagen wir einen evolutionären Algorithmus vor, der die Parameter eines LGCA Modells von Tumorwachstum auf der Grundlage von medizinischen Daten des Patienten für mehrere Zeitpunkte (insbesondere die Magnet-Resonanz-und Diffusion Tensor Imaging Daten) ermöglicht. Diese Parameter erlauben Szenarien für einen klinisch relevanten Tumorwachstum für einen bestimmten Patienten zu reproduzieren, die eine Vorhersage des Tumorwachstums zu einem späteren Zeitpunkt möglich machen.

O câncer de mama é o tipo de câncer mais comumente detectado em mulheres de todo o mundo. Na maioria das pacientes, a causa de morte se deve, principalmente, à doença metastática que pode se desenvolver a partir do tumor primário. O processo metastático envolve uma complexa cascata de eventos, incluindo a quebra organizada dos componentes da matriz extracelular por metaloproteinases de matriz (MMPs). A atividade das MMPs é precisamente regulada por inibidores específicos, os inibidores teciduais das MMPs (TIMPs). Dado seu papel na progressão tumoral, níveis elevados de MMPs têm sido associados com prognóstico desfavorável para pacientes com câncer. Por outro lado, sendo os TIMPs proteínas multifuncionais, níveis elevados de TlMP-1 e de TIMP-2 correlacionam com agressividade do tumor e prognóstico ruim em diferentes tipos de câncer, incluindo o câncer de mama. O gene supressor de metástase RECK codifica uma glicoproteína de membrana capaz de inibir a invasão e a metástase tumoral através da regulação negativa da atividade de MMPs envolvidas em carcinogênese: MMP-2, MMP-9 e MMP-14 (MT1-MMP). A fim de analisar o papel das MMPs e de seus inibidores (TIMPs e RECK) na progressão tumoral do câncer de mama, o perfil de expressão destes genes foi detectado, através de ensaios de Real-Time PCR, em um painel de cinco linhagens celulares de carcinoma de mama humano com diferentes potenciais invasivos e metastáticos e em 72 amostras teciduais de tumores primários de mama e 30 amostras teciduais de borda normal adjacente ao tumor. O perfil de expressão protéica de RECK foi avaliado em 236 amostras de tumores primários de mama através de ensaios de Tissue Microarray. Além disso, a atividade proteolítica das MMPs foi detectada em ensaios de Zimografia. Os resultados obtidos indicam que a progressão do câncer de mama humano está relacionada com um aumento dos níveis de expressão das MMPs e de seus inibidores específicos. O aumento dos níveis de expressão dos TIMPs parece estar relacionado ao seu papel como proteína multifuncional que pode estar funcionando de maneira a promover, mais do que suprimir, a progressão tumoral. Níveis elevados da expressão protéica de RECK estão associados com pior prognóstico. No entanto, para pacientes em estádios clínicos avançados, altos níveis de expressão de RECK podem estar correlacionados com melhor prognóstico, dependendo do balanço MMP/inibidor. Os níveis de expressão das MMPs apresentaram correlação positiva em relação aos níveis de expressão de seus inibidores específicos, sugerindo a existência de fatores e vias de sinalização comuns envolvidas na regulação coordenada destes genes. Além disso, a síntese do inibidor pode estar relacionada a uma resposta celular ao aumento da expressão e atividade de proteases. O balanço transcricional enzima/inibidor favorece a enzima nas amostras tumorais e, de modo contrário, o inibidor específico nas amostras de borda normal, sugerindo o balanço como o principal fator na determinação da degradação da MEC em processos invasivos e metastáticos. Os resultados obtidos podem contribuir para um melhor entendimento da complexidade dos mecanismos envolvidos na metástase do câncer de mama. / Breast cancer is among the most common tumors affecting women. Like most solid tumors, metastatic disease rather than the primary tumor itself is responsible for death. The metastatic process involves a complex cascade of events, including the organized breakdown of the extracellular matrix by matrix metalloproteinases (MMPs). The activity of these proteases is tightly regulated by specific inhibitors, known as tissue inhibitors of MMPs (TIMPs). Consistent with their role in tumor progression, high levels of a number of MMPs have been shown to correlate with poor prognosis in human cancers. On the other hand, TIMPs are multifunctional molecules with high levels of TIMP-1 and TIMP-2 having been shown to predict adverse prognosis and correlate with tumor aggressiveness in several different human cancers, including breast cancer. The RECK metastasis suppressor gene encodes a membrane-associated MMP regulator protein that is able to suppress tumor invasion and metastasis by negatively regulating MMPs involved in carcinogenesis, namely: MMP-2, MMP-9 and MMP-14 (MT1-MMP). In order to analyse the role of these genes in breast cancer progression, the expression levels of MMPs and theirs inhibitors were detected by Real Time PCR in a panel of five human breast cancer cell lines displaying different degrees of invasiveness and metastatic potential and in 72 primary breast cancer and 30 adjacent normal tissue specimens. The RECK protein expression profile was also examined in 236 primary breast cancer tissue specimens by Tissue Microarray technology. The proteolytic activity of MMPs was examined by Zymography. The results suggest that high expression levels of MMPs and their inhibitors are correlated with breast cancer progression. High levels of TIMP transcript may be involved in tumor-promoting activity as a result of their multifunctional role. Increased levels of the RECK protein are correlated with poor prognosis for the patient. However, high levels of RECK would be expected to confer a favorable prognosis to patients with advanced disease. The expression levels of MMPs significantly correlated with the levels of TIMPs and may be explained by coordinate correlation of these molecules or, alternatively, the synthesis of an inhibitor may be a cellular reaction to the presence of the protease. The enzyme/inhibitor balance at the transcriptional level favors the enzyme in tumor tissue and the inhibitor in adjacent normal tissue. It is probably the parameter that will determine the matrix degradation at invasion and metastatic process. Our results are likely to contribute for better understanding of the complex mechanisms involved in breast cancer metastasis.

O câncer de mama é o tipo de câncer mais comumente detectado em mulheres de todo o mundo. Na maioria das pacientes, a causa de morte se deve, principalmente, à doença metastática que pode se desenvolver a partir do tumor primário. O processo metastático envolve uma complexa cascata de eventos, incluindo a quebra organizada dos componentes da matriz extracelular por metaloproteinases de matriz (MMPs). A atividade das MMPs é precisamente regulada por inibidores específicos, os inibidores teciduais das MMPs (TIMPs). Dado seu papel na progressão tumoral, níveis elevados de MMPs têm sido associados com prognóstico desfavorável para pacientes com câncer. Por outro lado, sendo os TIMPs proteínas multifuncionais, níveis elevados de TlMP-1 e de TIMP-2 correlacionam com agressividade do tumor e prognóstico ruim em diferentes tipos de câncer, incluindo o câncer de mama. O gene supressor de metástase RECK codifica uma glicoproteína de membrana capaz de inibir a invasão e a metástase tumoral através da regulação negativa da atividade de MMPs envolvidas em carcinogênese: MMP-2, MMP-9 e MMP-14 (MT1-MMP). A fim de analisar o papel das MMPs e de seus inibidores (TIMPs e RECK) na progressão tumoral do câncer de mama, o perfil de expressão destes genes foi detectado, através de ensaios de Real-Time PCR, em um painel de cinco linhagens celulares de carcinoma de mama humano com diferentes potenciais invasivos e metastáticos e em 72 amostras teciduais de tumores primários de mama e 30 amostras teciduais de borda normal adjacente ao tumor. O perfil de expressão protéica de RECK foi avaliado em 236 amostras de tumores primários de mama através de ensaios de Tissue Microarray. Além disso, a atividade proteolítica das MMPs foi detectada em ensaios de Zimografia. Os resultados obtidos indicam que a progressão do câncer de mama humano está relacionada com um aumento dos níveis de expressão das MMPs e de seus inibidores específicos. O aumento dos níveis de expressão dos TIMPs parece estar relacionado ao seu papel como proteína multifuncional que pode estar funcionando de maneira a promover, mais do que suprimir, a progressão tumoral. Níveis elevados da expressão protéica de RECK estão associados com pior prognóstico. No entanto, para pacientes em estádios clínicos avançados, altos níveis de expressão de RECK podem estar correlacionados com melhor prognóstico, dependendo do balanço MMP/inibidor. Os níveis de expressão das MMPs apresentaram correlação positiva em relação aos níveis de expressão de seus inibidores específicos, sugerindo a existência de fatores e vias de sinalização comuns envolvidas na regulação coordenada destes genes. Além disso, a síntese do inibidor pode estar relacionada a uma resposta celular ao aumento da expressão e atividade de proteases. O balanço transcricional enzima/inibidor favorece a enzima nas amostras tumorais e, de modo contrário, o inibidor específico nas amostras de borda normal, sugerindo o balanço como o principal fator na determinação da degradação da MEC em processos invasivos e metastáticos. Os resultados obtidos podem contribuir para um melhor entendimento da complexidade dos mecanismos envolvidos na metástase do câncer de mama. / Breast cancer is among the most common tumors affecting women. Like most solid tumors, metastatic disease rather than the primary tumor itself is responsible for death. The metastatic process involves a complex cascade of events, including the organized breakdown of the extracellular matrix by matrix metalloproteinases (MMPs). The activity of these proteases is tightly regulated by specific inhibitors, known as tissue inhibitors of MMPs (TIMPs). Consistent with their role in tumor progression, high levels of a number of MMPs have been shown to correlate with poor prognosis in human cancers. On the other hand, TIMPs are multifunctional molecules with high levels of TIMP-1 and TIMP-2 having been shown to predict adverse prognosis and correlate with tumor aggressiveness in several different human cancers, including breast cancer. The RECK metastasis suppressor gene encodes a membrane-associated MMP regulator protein that is able to suppress tumor invasion and metastasis by negatively regulating MMPs involved in carcinogenesis, namely: MMP-2, MMP-9 and MMP-14 (MT1-MMP). In order to analyse the role of these genes in breast cancer progression, the expression levels of MMPs and theirs inhibitors were detected by Real Time PCR in a panel of five human breast cancer cell lines displaying different degrees of invasiveness and metastatic potential and in 72 primary breast cancer and 30 adjacent normal tissue specimens. The RECK protein expression profile was also examined in 236 primary breast cancer tissue specimens by Tissue Microarray technology. The proteolytic activity of MMPs was examined by Zymography. The results suggest that high expression levels of MMPs and their inhibitors are correlated with breast cancer progression. High levels of TIMP transcript may be involved in tumor-promoting activity as a result of their multifunctional role. Increased levels of the RECK protein are correlated with poor prognosis for the patient. However, high levels of RECK would be expected to confer a favorable prognosis to patients with advanced disease. The expression levels of MMPs significantly correlated with the levels of TIMPs and may be explained by coordinate correlation of these molecules or, alternatively, the synthesis of an inhibitor may be a cellular reaction to the presence of the protease. The enzyme/inhibitor balance at the transcriptional level favors the enzyme in tumor tissue and the inhibitor in adjacent normal tissue. It is probably the parameter that will determine the matrix degradation at invasion and metastatic process. Our results are likely to contribute for better understanding of the complex mechanisms involved in breast cancer metastasis.